Results 111 to 120 of about 6,095 (211)
Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images
To improve the accuracy of coastline extraction for polarimetric synthetic aperture radar (PolSAR) images, an adaptive superpixel segmentation-based method is proposed.
Yu Wang +5 more
doaj +1 more source
Joint superpixel and Transformer for high resolution remote sensing image classification
Deep neural networks combined with superpixel segmentation have proven to be superior to high-resolution remote sensing image (HRI) classification. Currently, most HRI classification methods that combine deep learning and superpixel segmentation use ...
Guangpu Dang +9 more
doaj +1 more source
Corrosion defect segmentation method based on superpixel feature cascade
To solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper.
Lingyu Sun +3 more
doaj +1 more source
Computer Vision with a Superpixelation Camera
Conventional cameras generate a lot of data that can be challenging to process in resource-constrained applications. Usually, cameras generate data streams on the order of the number of pixels in the image. However, most of this captured data is redundant for many downstream computer vision algorithms.
Sasidharan Mahalingam +2 more
openaire +3 more sources
Realizing a spatial phase modulation (SPM) from 0 to 2π is vital for achieving precise light field manipulation, when the phase-only spatial light modulator (SLM) is driven by the voltage. However, insufficient bias voltage degrades the quality of
Ruhao Zhao +7 more
doaj +1 more source
Unsupervised instance segmentation with superpixels
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
openaire +3 more sources
Superpixel Salient Object Detection
Salient object detection (SOD) is a core problem in computer vision that involves identifying and segmenting the most visually prominent regions in an image.
Park, Jinman
core
Adaptive high-precision superpixel segmentation
Adaptive high-precision superpixel ...
G Xie (11832605) +3 more
core
Superpixel Segmentation Systems: Design and Analysis
Image segmentation is a partitioning of an image into distinct groups of pixels (“regions”), each region preferably spatially connected, where each region ideally corresponds to an object or other semantically meaningful scene component.
Malladi, Sree Ramya Surya Prabha
core +1 more source
Vision-Based Automated Inspection of Box Meals for Food Portion Defects and Foreign Object Detection. [PDF]
Lin HD, Chen GM, Lin CH.
europepmc +1 more source

